Image Processing for Fundus Image Classification using Deep Learning

Main Article Content

Songgrod Phimphisan
Nattavut Sriwiboon

Abstract

This paper proposed the using a computer for classifying the diabetic retinopathy 4 diabetic severity levels: normal level, light level, medium level and severe level from the fundus image by using image processing with the deep learning. The development of the model for classification of fundus images, shown that the modeling of this paper is more accurate than previous research using machine learning. In addition, this paper uses the model developed to be a prototype. It is shown that the accuracy of the classification of the severity of the diabetic retinopathy, which can help the ophthalmologist effectively diagnose the severity of the diabetic retinopathy from the fundus image.

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How to Cite
[1]
S. Phimphisan and N. Sriwiboon, “Image Processing for Fundus Image Classification using Deep Learning”, JIST, vol. 10, no. 2, pp. 19-25, Dec. 2020.
Section
Research Article: Soft Computing (Detail in Scope of Journal)

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